Learned human-agent decision-making, communication and joint action in a virtual reality environment. - Patrick M. Pilarski; Andrew Butcher; Michael Johanson; Matthew M. Botvinick; Andrew Bolt; Adam S. R. Parker (CoRR, 2019)

Never Give Up: Learning Directed Exploration Strategies. - Adrià Puigdomènech Badia; Pablo Sprechmann; Alex Vitvitskyi; Zhaohan Daniel Guo; Bilal Piot; Steven Kapturowski; Olivier Tieleman; Martín Arjovsky; Alexander Pritzel; Andrew Bolt; Charles Blundell (ICLR, 2020)

Using Unity to Help Solve Intelligence. - Tom Ward; Andrew Bolt; Nik Hemmings; Simon Carter; Manuel Sanchez; Ricardo Barreira; Seb Noury; Keith Anderson; Jay Lemmon; Jonathan Coe; Piotr Trochim; Tom Handley; et al. (CoRR, 2020)

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models. - Andrew Bolt; Carolyn Huston; Petra Kuhnert; Joel Janek Dabrowski; James Hilton 001; Conrad Sanderson (SPA, 2022)

An Emulation Framework for Fire Front Spread. - Andrew Bolt; Joel Janek Dabrowski; Carolyn Huston; Petra Kuhnert (CoRR, 2022)

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires. - Joel Janek Dabrowski; Daniel Edward Pagendam; James Hilton 001; Conrad Sanderson; Daniel MacKinlay; Carolyn Huston; Andrew Bolt; Petra Kuhnert (CoRR, 2022)

A Neural Emulator for Uncertainty Estimation of Fire Propagation. - Andrew Bolt; Conrad Sanderson; Joel Janek Dabrowski; Carolyn Huston; Petra Kuhnert (INNS DLIA@IJCNN, 2023)

Scaling Instructable Agents Across Many Simulated Worlds. - SIMA Team; Maria Abi Raad; Arun Ahuja; Catarina Barros; Frederic Besse; Andrew Bolt; Adrian Bolton; Bethanie Brownfield; Gavin Buttimore; Max Cant; Sarah Chakera; Stephanie C. Y. Chan; et al. (CoRR, 2024)